Familia VISION
Challenges We Solve
Are you experiencing these concerns with Sites ?
" Labor Shortage " Concerns
- Unable to allocate sufficient staff for monitoring
- Monitoring coverage is thin at night and on holidays
- Cannot manage multiple sites with a small team
" Cost " Concerns
- AI implementation seems too expensive to afford
- Want to avoid large-scale construction during installation
- Video transmission to the cloud increases communication costs
" Time " Concerns
- Video review is only reactive after incidents occur
- Delayed anomaly detection leads to reactive responses
- AI seems to take time from consideration to operation
→ Familia VISION solves these three concerns: labor shortage • cost • time!
Overview
Simply connect an AI Box to your facility's existing IP or analog camera network to enable immediate AI analysis.
Easily receive analysis results, alert notifications, and more from smartphones or PCs.
Unique Strengths
Technology
Utilize Existing
Cameras As-Is
Transform existing cameras into AI-enabled systems
with minimal additional equipment.
Highly Extensible
App • UI
Flexibly support various use cases
without additional construction • development.
Comprehensive
Model Lineup
Provide over 30
pre-developed AI models.
Business
Significantly Reduce
Implementation Costs
Leverage extensible apps and existing models
to keep implementation costs low.
Custom AI Model
Development Available
Support development of custom AI models
tailored to your company's unique needs.
Why Edge AI?
Why Familia VISION Adopts Edge AI
- High Real-Time Performance:Ideal for detection requiring real-time response such as security and anomaly detection.
- Low Running Costs:Significantly reduce cloud communication and maintenance costs.
- Strong Privacy Protection:Analyze video data without external transmission, making it easy to deploy in public spaces • facilities.
- Stable Operation:Unaffected by network failures on the internet side, continuing processing at Sites .
| Item | Edge AI ( Familia VISION ) | Cloud AI |
|---|---|---|
| Processing Location | Edge device near camera | Cloud server |
| Data Volume | Low (only results transmitted) | High (all video transmitted) |
| Latency | Low latency (real-time processing) | Latency prone |
| Communication Cost | Low | High |
| Privacy | Video stays local | Video transmitted to cloud |
| Offline Operation | Possible | Not possible |
Ready-to-Use AI Model List
Traffic Violations
| Wrong-Way Detection | Detects when a vehicle travels in the wrong direction |
| Lane Violation Detection | Detects when a vehicle travels in the wrong lane |
| Lane Crossing Detection | Detects when a vehicle changes lanes |
| Vehicle Intrusion Detection | Detects when a vehicle enters an unauthorized area |
| Illegal Parking Detection | Detects when a vehicle parks in an unauthorized area |
| Sidewalk Driving Detection | Detects when a vehicle enters a sidewalk or pedestrian area |
| Public Transit Illegal Parking Detection | Detects when a bus enters an unauthorized area |
| Highway Intrusion Violation Detection | Detects when a person or vehicle enters a highway area |
| Helmet Non-Compliance Detection | Detects motorcyclists not wearing helmets and reads license plates when visible |
Vehicle Monitoring
| License Plate Recognition | Detect and read license plate numbers |
| Traffic congestion detection | Detect when the number of vehicles exceeds the set X value |
| Vehicle presence count | Count the total number of vehicles present in the specified area at any given time |
| Vehicle passage count | Count and classify the total number of vehicles passing through a line within a certain period |
| Vehicle entry/exit count | Count the total number of vehicles entering and exiting the specified area within a certain period |
Person detection
| Face recognition | Detect registered faces |
| Unregistered face detection | Detect unregistered faces |
| Person intrusion detection | Detect when a person enters a restricted area or unauthorized road area |
| Line crossing detection | Detect when a person crosses a line |
| Loitering detection | Detect when a person loiters outside a restricted area or unauthorized area defined by the user |
| Crowd detection | Detect when the number of people exceeds the set X value |
| Absence detection | Detect when the number of people is less than the set X value |
| People presence count | Count the total number of people present in the specified area |
| People passage count | Count the total number of people passing through a line within a certain period |
| People entry/exit count | Count the total number of people entering and exiting the specified area within a certain period |
Behavior detection
| Firearm detection | Detect when a person is carrying a firearm |
| Mobile phone detection | Detect when a mobile phone is present in the area |
Environmental monitoring
| Fire • smoke detection | Detect fire or smoke in the area |
| Pet detection | Detect when a pet is present in the area |
| Sidewalk obstruction detection | Detect vehicles, objects, waste, or other items occupying sidewalk areas and obstructing pedestrians |
| Illegal dumping detection | Detect garbage or waste in unauthorized dumping areas |
Latest case studies
Case studies for Familia VISION are currently in preparation. Please wait for publication.